Triple
T29907712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Museum of Brazil |
E759583
|
entity |
| Predicate | survivingObjectAfterFire |
P25058
|
FINISHED |
| Object | meteorite Bendegó |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: meteorite Bendegó | Statement: [National Museum of Brazil, survivingObjectAfterFire, meteorite Bendegó]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingObjectAfterFire Context triple: [National Museum of Brazil, survivingObjectAfterFire, meteorite Bendegó]
-
A.
destroyedByFire
Indicates that something has been ruined, damaged, or rendered unusable as a direct result of a fire.
-
B.
partiallyDestroyedByFire
Indicates that an entity has been damaged to some extent, but not completely destroyed, as a result of a fire.
-
C.
survivingFrom
chosen
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
-
D.
survivingStructure
Indicates that a structure continues to exist or remain intact after a potentially destructive event or over a significant period of time.
-
E.
survivesWith
Indicates that one entity continues to live, endure, or remain viable in the presence, context, or company of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67757ec208190986cdbd06d9717ab |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:09 p.m.